Balancing heterogeneous assembly line with multi-skilled human-robot collaboration via Adaptive cooperative co-evolutionary algorithm DOI Creative Commons
Bo Tian, Himanshu Kaul, Mukund Nilakantan Janardhanan

et al.

Swarm and Evolutionary Computation, Journal Year: 2024, Volume and Issue: 91, P. 101762 - 101762

Published: Nov. 10, 2024

Language: Английский

Large-scale evolutionary optimization: A review and comparative study DOI Creative Commons
Jing Liu, Ruhul Sarker, Saber Elsayed

et al.

Swarm and Evolutionary Computation, Journal Year: 2024, Volume and Issue: 85, P. 101466 - 101466

Published: Jan. 10, 2024

Large-scale global optimization (LSGO) problems have widely appeared in various real-world applications. However, their inherent complexity, coupled with the curse of dimensionality, makes them challenging to solve. Continuous efforts been devoted designing computational intelligence-based approaches solve them. This paper offers a comprehensive review latest developments field, focusing on advances both single-objective and multi-objective large-scale evolutionary algorithms over past five years. We systematically categorize these algorithms, discuss distinct features, highlight benchmark test suites essential for performance evaluation. After that, comparative studies are conducted using numerical solutions evaluate state-of-the-art LSGO problems. Finally, we applications LSGO, some challenges, possible future research directions.

Language: Английский

Citations

23

Feasibility on the integration of passenger and freight transportation in rural areas: A service mode and an optimization model DOI
Tiannuo Yang, Zhongzhu Chu, Bailin Wang

et al.

Socio-Economic Planning Sciences, Journal Year: 2023, Volume and Issue: 88, P. 101665 - 101665

Published: June 26, 2023

Language: Английский

Citations

17

Exploring decision-making mechanisms for the metro-based underground logistics system network expansion: An example of Beijing DOI
Zhilong Chen, Wanjie Hu,

XU Yuan-xian

et al.

Tunnelling and Underground Space Technology, Journal Year: 2023, Volume and Issue: 139, P. 105240 - 105240

Published: June 3, 2023

Language: Английский

Citations

15

Reliable design of urban surface-underground integrated logistics system network with stochastic demand and social-environmental concern DOI
Wanjie Hu, Jianjun Dong, Kai Yang

et al.

Computers & Industrial Engineering, Journal Year: 2023, Volume and Issue: 181, P. 109331 - 109331

Published: May 26, 2023

Language: Английский

Citations

12

Sustainable Design and Operations Management of Metro-Based Underground Logistics Systems: A Thematic Literature Review DOI Creative Commons

Dandan Gong,

Jiajia Tian, Wanjie Hu

et al.

Buildings, Journal Year: 2023, Volume and Issue: 13(8), P. 1888 - 1888

Published: July 25, 2023

Sustainable urban development relies on forward-looking infrastructure development. As an emerging system that incorporates green technologies, the Metro-based Underground Logistics System (M-ULS) enables sustainable transportation of passengers and freight within cities collaboratively by sharing rail transit network facilities. M-ULS can effectively save non-renewable energy reduce pollution to ecological environment, comprehensive benefits make outstanding contribution The purpose this study is provide a systematic review based different perspectives present integration concept. By employing bibliometric analysis, four dimensions related literature are statistically analyzed discover knowledge structure research trends. Through thematic discussions, path for developing concept was established. main findings summarized as follows: (i) A comparative analysis shows metro has high potential use; (ii) Improvements in technologies conducive economy, social sustainability; (iii) Network expansion inevitable trend implementing underground logistics metro; (iv) interaction among public sectors, operators, corporations, users plays critical role promoting M-ULS. (v) It worth mentioning planning should fully consider its city. This visualizes current status hotspots research. also discloses frontier novel insights integrated operations management transportation.

Language: Английский

Citations

10

Joint optimization of train stop planning and timetabling with time-dependent passenger and freight demands in high-speed railway DOI

Jianguo Qi,

Yaru Zhou,

Fanting Meng

et al.

Transportation Research Part C Emerging Technologies, Journal Year: 2025, Volume and Issue: 172, P. 105025 - 105025

Published: Feb. 14, 2025

Language: Английский

Citations

0

A systematic review on underground logistics system: designs, impacts, and future directions DOI
Fengshan Li, Kum Fai Yuen

Tunnelling and Underground Space Technology, Journal Year: 2025, Volume and Issue: 159, P. 106483 - 106483

Published: Feb. 20, 2025

Language: Английский

Citations

0

Exploring key drivers for consumers’ willingness to adopt underground logistics systems: uses and gratification theoretical perspective DOI
Fengshan Li, Xue Li, Kum Fai Yuen

et al.

The International Journal of Logistics Management, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 28, 2025

Purpose The underground logistics system (ULS) is noted to be an innovative delivery alternative that confers benefits such as improved efficiency, reduced traffic congestion and better environmental protection for society. Consumer acceptance crucial the widespread application of ULS. Hence, this study aims explore drivers affecting consumers’ willingness adopt ULS anchored on uses gratification theory. Design/methodology/approach An online survey was implemented among 551 Singapore citizens structural equation modeling adopted examine theoretical model. Findings findings suggest most variables (i.e. hedonic gratification, (EPG) social gratification), mediated by perceived well-being conscious attention, have significant effects consumer adoption Moreover, shown in results total effects, perception exerts largest impact ULS, followed EPG, convenience gratification. Originality/value This contributes enriching current research accept providing several practical implications logistic service providers government promote

Language: Английский

Citations

0

Optimization of three-dimensional urban underground logistics system alignment: a deep reinforcement learning approach DOI

Longlong Hou,

XU Yuan-xian,

Rui Ren

et al.

Computers & Industrial Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 111185 - 111185

Published: May 1, 2025

Language: Английский

Citations

0

Unequal-area facility layout optimization for a freight-passenger integrated metro station considering logistics functional partitioning and device allotment: a bi-level programming method DOI
Wanjie Hu, Rui Ren, Jianping Yang

et al.

Computers & Industrial Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 111189 - 111189

Published: May 1, 2025

Language: Английский

Citations

0